[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

EP3557899A1 - Method and system for determining wireless network coverage within an environment - Google Patents

Method and system for determining wireless network coverage within an environment Download PDF

Info

Publication number
EP3557899A1
EP3557899A1 EP18168159.4A EP18168159A EP3557899A1 EP 3557899 A1 EP3557899 A1 EP 3557899A1 EP 18168159 A EP18168159 A EP 18168159A EP 3557899 A1 EP3557899 A1 EP 3557899A1
Authority
EP
European Patent Office
Prior art keywords
wireless
location
environment
parameter
aforementioned
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP18168159.4A
Other languages
German (de)
French (fr)
Inventor
Andreas Kornbichler
Dr. Alejandro Ramirez
Alexander Teufel
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Priority to EP18168159.4A priority Critical patent/EP3557899A1/en
Priority to PCT/EP2019/058929 priority patent/WO2019201670A1/en
Publication of EP3557899A1 publication Critical patent/EP3557899A1/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the disclosed embodiments relate to wireless network analysis and more specifically to determining wireless network coverage map within an environment.
  • Wireless technologies are penetrating to industrial shop floor environments, due to the advantages that they possess over cabled technologies, such as mobility, flexibility, coverage over hard-to-reach locations, as well as lower installation and maintenance cost.
  • An industrial environment is harsh for wireless communications compared to an office environment.
  • Industrial environments are dominated by various metal objects, such as production machines, storage racks, materials and vehicles, such as automated guided vehicles or AGVs, cranes and forklifts.
  • Embodiments for determining network coverage as described herein generally involve the usage of wireless clients moving autonomously within an environment.
  • a method for determining wireless network coverage within an environment comprising the steps of:
  • the step of determining a location can be executed before or while executing the step of determining at least one parameter indicating a signal strength or before or while executing the step of comparing said at least one parameter with a plurality of threshold values.
  • a system for determining wireless network coverage within an environment including:
  • a non-transitory computer-readable storage medium having stored thereon computer executable program code which, when executed by a computing device, cause the computing device to perform operations comprising:
  • FIG depicts a J-shaped floorplan of an industrial site neglecting usual industrial equipment or facilities like production machines, storage racks, materials and so on.
  • the floorplan is superimposed by a number of trajectories which are symbolized as rail trails in the drawing. These trajectories are determined by wireless clients moving autonomously within the environment.
  • the wireless clients may be mounted or being part of vehicles, such as automated guided vehicles or AGVs, cranes and forklifts.
  • Multiple - not shown - wireless access points or wireless base stations are distributed among several locations of the industrial site in order to provide for a wireless network coverage of the site.
  • the floorplan is superimposed by a coverage map which comprises a number of wireless network coverage areas having a predefined signal strength.
  • a coverage map which comprises a number of wireless network coverage areas having a predefined signal strength.
  • more or less dense hatching of a respective coverage area denotes higher or lower signal strength within the hatched coverage area.
  • Alternatively - not shown - colors are used in order to depict the signal strength.
  • Such colored coverage maps are often referred to as »heat maps «.
  • each of a plurality of wireless clients moving autonomously within the environment determines - constantly, occasionally or on demand - at least one parameter indicating a signal strength of the wireless network.
  • the wireless clients determine the received signal strength of associated base stations for one or more differing channels.
  • Other parameters may include a signal quality, a latency time, a bit error rate, a network status, a frame error rate and/or a wireless network channel.
  • a location of said wireless client is determined.
  • the location of the wireless client is associated with the determination of said parameter. Association of the location with the determination of said parameter may practically mean generating a complex data set including one or more parameter including said location data.
  • the location of the wireless client may be determined by the wireless client, by a co-operation of more than one wireless client, by a co-operation of more than one wireless client with a at least one base station or wireless access point and/or by a co-operation of more than one wireless client with an indoor localization system.
  • the co-operation of a wireless client with base stations or wireless access points is preferably including a trilateration or multilateration including two or more base stations or wireless access points.
  • the location of the wireless client may at least partially iclude an inertial measurement of the wireless client's movement.
  • the indoor localization system may include the usage of Bluetooth beacons for determining the location in the absence of GPS signals within an indoor site.
  • the indoor localization system may further include a pictorial analysis of the site thereby recognizing particular wireless clients and their position by optical, thermal or TOF cameras (time of flight).
  • the wireless clients either transmit these parameters to their currently associated wireless access point or, alternatively, buffer these parameters internally fur further processing.
  • the further processing may be executed by an arbitrary network node, server or computer inside or outside the wireless network.
  • Such a network node may push a request to a specific or a plurality of wireless clients for transmitting at least one of said parameters to the network node.
  • parameters are compared with one or more threshold values in order to provide a comparison result.
  • the comparison result may include a binning of the parameter into one out of more classes.
  • Simple classes may comprise a class of »excellent«, »good«, »acceptable « or »poor« for characterizing the signal quality.
  • This comparison step may be executed by the wireless access point or by an arbitrary network node, e.g. a server, or, alternatively, by the wireless client itself.
  • a data representation indicating said signal strength is generated by using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
  • the coded value may represent a color in order to generate a »heat map « for intuitively depicting both, the local density and intensity of the network coverage.
  • This comparison step may be executed by a dedicated coverage map generator or by the wireless access point or, alternatively, by an arbitrary network node, e.g. a server. Alternatively, the comparison step may be executed by the wireless client itself.
  • the coverage map generator can create alarms or suggestions on how to improve the performance and coverage of the wireless communication system.
  • the embodiments are not restricted to a particular wireless network protocol and include the usage of alternative wireless communication protocols, such as:
  • the disclosed embodiments for determining wireless network coverage within an environment advantageously eliminate the necessity of measurement personnel intervention while allowing for an actual up-to-date survey of the coverage.
  • the environment in which the network coverage is determined, comprises both, indoor and outdoor environments, including environments such as industrial environments, office environments, hospital environments, residential building environments or public outdoor environments such as trade fair sites, parks, traffic zones, roads or public transport sites.
  • the wireless clients moving autonomously within the environment may include vehicles such as cars, trains or boats.
  • the wireless clients moving autonomously within the environment are vehicles being equipped with a wireless client.
  • the level of autonomy for the movement of a vehicle may comprise autonomous or semi-autonomous movement.
  • the autonomous or semi-autonomous movement may comprise an assisted autonomy of vehicles in various grades ranging from fully autonomous vehicles without any driver interference down to vehicles with driver-assisting capabilities.
  • wireless clients moving autonomously within the environment are used in order to determine and collect parameters indicating a quality of the wireless network coverage.
  • a coverage map generator is provided for generating a data representation indicating a signal strength within areas of a floorplan of the industrial site.
  • Other parameters may include a signal quality, a latency time, a bit error rate, a network status, a frame error rate and/or a wireless network channel.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Disclosed embodiments for determining wireless network coverage within an environment are capable of determining the network coverage eliminating the necessity of measurement personnel intervention while allowing for an actual up-to-date survey of the wireless network coverage. According to an embodiment wireless clients moving autonomously within the environment are used in order to determine and collect parameters indicating a quality of the wireless network coverage. A coverage map generator is provided for generating a data representation indicating a signal strength within areas of a floorplan, e.g. of an industrial site. Other parameters may include a signal quality, a latency time, a bit error rate, a network status, a frame error rate and/or a wireless network channel.

Description

    TECHNICAL FIELD
  • The disclosed embodiments relate to wireless network analysis and more specifically to determining wireless network coverage map within an environment.
  • BACKGROUND
  • Wireless technologies are penetrating to industrial shop floor environments, due to the advantages that they possess over cabled technologies, such as mobility, flexibility, coverage over hard-to-reach locations, as well as lower installation and maintenance cost.
  • An industrial environment, however, is harsh for wireless communications compared to an office environment. Industrial environments are dominated by various metal objects, such as production machines, storage racks, materials and vehicles, such as automated guided vehicles or AGVs, cranes and forklifts.
  • These obstacles shadow radio propagations and cause coverage holes on desired areas thereby affecting the availability of the wireless communications, such as wireless local area network, WLAN, or industrial wireless local area networks, IWLAN. It is as well time-consuming and ineffective to perform trial-and-error manual deployment of wireless nodes.
  • Existing wireless planning tools are expected to systemize manual deployments so as to enhance effectiveness. Currently used planning tools, however, focus on office environments such that it is hard to plan industrial wireless local area networks due to their larger area and their vulnerability to prevalent shadowing effects in harsh industrial indoor environments.
  • Another drawback of existing radio planning tools is that they rely on dedicated measurements, which means that qualified test and measurement personnel has to walk through the complete site taking the measurements. In other words this kind of radio planning is almost as time-consuming and ineffective as a manual deployment of wireless nodes.
  • Further on, measurement results of such planning tools are merely valid at the time when these measurements have been taken. However, an industrial infrastructure is subject to frequent reorganizations and changes of production machines and materials. The wireless communication network in such infrastructures is accordingly governed by continuous changes which are not taken into account by presently known radio planning tools, eventually leading to areas with deficient coverage and different base stations using the same channel in the same area.
  • Accordingly there is a need in the art for determining wireless network coverage within an environment eliminating the necessity of measurement personnel intervention while allowing for an actual up-to-date survey of the wireless network coverage.
  • SUMMARY
  • Embodiments for determining network coverage as described herein generally involve the usage of wireless clients moving autonomously within an environment.
  • In one embodiment a method for determining wireless network coverage within an environment is disclosed, the method comprising the steps of:
    • determining at least one parameter indicating a signal strength of the wireless network by at least one of a plurality of wireless clients moving autonomously within the environment;
    • comparing said at least one parameter with a plurality of threshold values to provide a comparison result;
    • determining a location of said wireless client, wherein said location is associated with the determination of said parameter; and;
    • generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
  • The method steps mentioned above are not restricted to their sequential order specified above. Particularly, the step of determining a location can be executed before or while executing the step of determining at least one parameter indicating a signal strength or before or while executing the step of comparing said at least one parameter with a plurality of threshold values.
  • In one embodiment a system for determining wireless network coverage within an environment is suggested, said system including:
    • a plurality of autonomously moving wireless clients for determining at least one parameter indicating a signal strength of the wireless network and for determining a location of said wireless client;
    • a network node for comparing said at least one parameter with a plurality of threshold values to provide a comparison result and for associating said location with the determination of said parameter; and;
    • a coverage map generator for generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
  • In one embodiment a non-transitory computer-readable storage medium is disclosed, the medium having stored thereon computer executable program code which, when executed by a computing device, cause the computing device to perform operations comprising:
    • receiving at least one parameter indicating a signal strength of the wireless network by at least one of a plurality of wireless clients moving autonomously within the environment;
    • comparing said at least one parameter with a plurality of threshold values to provide a comparison result;
    • receiving a location parameter indicating a position of said wireless client, wherein said location data is associated with the determination of said parameter; and;
    • generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
    DESCRIPTION OF THE DRAWING
  • The objects as well as further advantages of the present embodiments will become more apparent and readily appreciated from the following description of the preferred embodiments, taken in conjunction with the accompanying drawing in which the sole Figure shows a schematic floorplan of an industrial site along with an area map depicting a wireless network coverage within a respective area of the site.
  • DETAILED DESCRIPTION
  • The FIG depicts a J-shaped floorplan of an industrial site neglecting usual industrial equipment or facilities like production machines, storage racks, materials and so on.
  • The floorplan is superimposed by a number of trajectories which are symbolized as rail trails in the drawing. These trajectories are determined by wireless clients moving autonomously within the environment. The wireless clients may be mounted or being part of vehicles, such as automated guided vehicles or AGVs, cranes and forklifts.
  • Multiple - not shown - wireless access points or wireless base stations are distributed among several locations of the industrial site in order to provide for a wireless network coverage of the site.
  • The floorplan is superimposed by a coverage map which comprises a number of wireless network coverage areas having a predefined signal strength. In the drawing more or less dense hatching of a respective coverage area denotes higher or lower signal strength within the hatched coverage area. Alternatively - not shown - colors are used in order to depict the signal strength. Such colored coverage maps are often referred to as »heat maps«.
  • According to an embodiment, each of a plurality of wireless clients moving autonomously within the environment determines - constantly, occasionally or on demand - at least one parameter indicating a signal strength of the wireless network. The wireless clients determine the received signal strength of associated base stations for one or more differing channels. Other parameters may include a signal quality, a latency time, a bit error rate, a network status, a frame error rate and/or a wireless network channel.
  • Before, during, or after determination of at least parameter, a location of said wireless client is determined. The location of the wireless client is associated with the determination of said parameter. Association of the location with the determination of said parameter may practically mean generating a complex data set including one or more parameter including said location data. The location of the wireless client may be determined by the wireless client, by a co-operation of more than one wireless client, by a co-operation of more than one wireless client with a at least one base station or wireless access point and/or by a co-operation of more than one wireless client with an indoor localization system.
  • The co-operation of a wireless client with base stations or wireless access points is preferably including a trilateration or multilateration including two or more base stations or wireless access points. The location of the wireless client may at least partially iclude an inertial measurement of the wireless client's movement. The indoor localization system may include the usage of Bluetooth beacons for determining the location in the absence of GPS signals within an indoor site. The indoor localization system may further include a pictorial analysis of the site thereby recognizing particular wireless clients and their position by optical, thermal or TOF cameras (time of flight).
  • Using a multiplicity of wireless sensors autonomously moving within the site, its network coverage can be determined in an up-to-date manner, using each individual wireless client as a »sensor«.
  • The wireless clients either transmit these parameters to their currently associated wireless access point or, alternatively, buffer these parameters internally fur further processing. The further processing may be executed by an arbitrary network node, server or computer inside or outside the wireless network. Such a network node may push a request to a specific or a plurality of wireless clients for transmitting at least one of said parameters to the network node.
  • In a fallowing step parameters are compared with one or more threshold values in order to provide a comparison result. The comparison result may include a binning of the parameter into one out of more classes. Simple classes may comprise a class of »excellent«, »good«, »acceptable« or »poor« for characterizing the signal quality. This comparison step may be executed by the wireless access point or by an arbitrary network node, e.g. a server, or, alternatively, by the wireless client itself.
  • Eventually a data representation indicating said signal strength is generated by using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values. The coded value may represent a color in order to generate a »heat map« for intuitively depicting both, the local density and intensity of the network coverage. This comparison step may be executed by a dedicated coverage map generator or by the wireless access point or, alternatively, by an arbitrary network node, e.g. a server. Alternatively, the comparison step may be executed by the wireless client itself.
  • Once the data representation has been finalized and a map of the signal strength is available, the coverage map generator can create alarms or suggestions on how to improve the performance and coverage of the wireless communication system.
  • The embodiments are not restricted to a particular wireless network protocol and include the usage of alternative wireless communication protocols, such as:
    • A series of wireless communication standards developed by the Institute of Electrical and Electronics Engineers or IEEE:
      • A family of specifications for implementing wireless communication networks according to IEEE 802.11 xx wherein xx denotes a multiplicity of amendments to the intial and meanwhile obsolete communication standard IEEE 802.11.
      • WiMAX or Worldwide Interoperability for Microwave Access according to IEEE 802.16;
    • Wireless communication protocols for mobile devices and data terminals, based on the GSM/EDGE and UMTS/HSPA technologies, here particularly including 5th generation wireless systems, or 5G, using millimeter wave bands.
  • The disclosed embodiments for determining wireless network coverage within an environment advantageously eliminate the necessity of measurement personnel intervention while allowing for an actual up-to-date survey of the coverage.
  • The environment, in which the network coverage is determined, comprises both, indoor and outdoor environments, including environments such as industrial environments, office environments, hospital environments, residential building environments or public outdoor environments such as trade fair sites, parks, traffic zones, roads or public transport sites. The wireless clients moving autonomously within the environment may include vehicles such as cars, trains or boats.
  • Preferably, the wireless clients moving autonomously within the environment are vehicles being equipped with a wireless client. The level of autonomy for the movement of a vehicle may comprise autonomous or semi-autonomous movement. The autonomous or semi-autonomous movement may comprise an assisted autonomy of vehicles in various grades ranging from fully autonomous vehicles without any driver interference down to vehicles with driver-assisting capabilities.
  • According to an embodiment, wireless clients moving autonomously within the environment are used in order to determine and collect parameters indicating a quality of the wireless network coverage. A coverage map generator is provided for generating a data representation indicating a signal strength within areas of a floorplan of the industrial site. Other parameters may include a signal quality, a latency time, a bit error rate, a network status, a frame error rate and/or a wireless network channel.
  • It is to be understood that the elements and features recited in the appended claims may be combined in different ways to produce new claims that likewise fall within the scope of the present invention. Thus, whereas the dependent claims appended below depend from only a single independent or dependent claim, it is to be understood that these dependent claims can, alternatively, be made to depend in the alternative from any preceding or following claim, whether independent or dependent, and that such new combinations are to be understood as forming a part of the present specification.
  • While the present invention has been described above by reference to various embodiments, it should be understood that many changes and modifications can be made to the described embodiments. It is therefore intended that the foregoing description be regarded as illustrative rather than limiting, and that it be understood that all equivalents and/or combinations of embodiments are intended to be included in this description.

Claims (15)

  1. A method for determining wireless network coverage within an environment, comprising the steps of:
    - determining at least one parameter indicating a signal strength of the wireless network by at least one of a plurality of wireless clients moving autonomously within the environment;
    - comparing said at least one parameter with a plurality of threshold values to provide a comparison result;
    - determining a location of said wireless client, wherein said location is associated with the determination of said parameter; and;
    - generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
  2. The method according to claim 1, wherein the environment is an industrial environment.
  3. The method according to one of the aforementioned claims, wherein at least one parameter is indicative of:
    - a signal quality;
    - a latency;
    - a bit error rate;
    - a network status;
    - a frame error rate; and/or;
    - a wireless network channel.
  4. The method according to one of the aforementioned claims, including a step of pushing a request for transmitting at least one of said parameters to at least one of the plurality of wireless clients.
  5. The method according to one of the aforementioned claims, wherein the location of the wireless client is at least determined by the wireless client.
  6. The method according to one of the aforementioned claims, wherein the location of the wireless client is at least determined by a wireless access point and/or a base station.
  7. The method according to one of the aforementioned claims, wherein the location of the wireless client is at least determined based on multilateration including two or more base stations or wireless access points.
  8. The method according to one of the aforementioned claims, wherein the location of the wireless client is at least determined based on an inertial measurement of the wireless client's movement.
  9. The method according to one of the aforementioned claims, wherein the location of the wireless client is at least determined by a localization system within the environment.
  10. The method according to one of the aforementioned claims, wherein said coded value represents color.
  11. The method according to one of the aforementioned claims, wherein at least one of the autonomously moving wireless clients is a vehicle moving autonomously within the environment, the vehicle being equipped with a wireless client.
  12. A System for determining wireless network coverage within an environment, comprising:
    - a plurality of autonomously moving wireless clients for determining at least one parameter indicating a signal strength of the wireless network and for determining a location of said wireless client;
    - a network node for comparing said at least one parameter with a plurality of threshold values to provide a comparison result and for associating said location with the determination of said parameter; and;
    - a coverage map generator for generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
  13. The system according to claim 12, wherein at least one of the autonomously moving wireless clients is a vehicle moving autonomously within the environment, the vehicle being equipped with a wireless client.
  14. The system according to one of the aforementioned claims 12 and 13, wherein said coded value represents color.
  15. A non-transitory computer-readable storage medium having stored thereon computer executable program code which, when executed by a computing device, cause the computing device to perform operations comprising:
    - receiving at least one parameter indicating a signal strength of a wireless network by at least one of a plurality of wireless clients moving autonomously within an environment;
    - comparing said at least one parameter with a plurality of threshold values to provide a comparison result;
    - receiving a location parameter indicating a position of said wireless client, wherein said location data is associated with the determination of said parameter; and;
    - generating a data representation indicating said signal strength using said plurality of threshold values and said location, wherein said data representation is coded with a value associated with at least one threshold value of said plurality of threshold values.
EP18168159.4A 2018-04-19 2018-04-19 Method and system for determining wireless network coverage within an environment Withdrawn EP3557899A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP18168159.4A EP3557899A1 (en) 2018-04-19 2018-04-19 Method and system for determining wireless network coverage within an environment
PCT/EP2019/058929 WO2019201670A1 (en) 2018-04-19 2019-04-09 Method and system for determining wireless network coverage within an environment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP18168159.4A EP3557899A1 (en) 2018-04-19 2018-04-19 Method and system for determining wireless network coverage within an environment

Publications (1)

Publication Number Publication Date
EP3557899A1 true EP3557899A1 (en) 2019-10-23

Family

ID=62063320

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18168159.4A Withdrawn EP3557899A1 (en) 2018-04-19 2018-04-19 Method and system for determining wireless network coverage within an environment

Country Status (2)

Country Link
EP (1) EP3557899A1 (en)
WO (1) WO2019201670A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3910986A1 (en) * 2020-05-14 2021-11-17 Siemens Aktiengesellschaft Method of detecting an interference source in an industrial facility
WO2021228473A1 (en) * 2020-05-14 2021-11-18 Siemens Aktiengesellschaft Method of detecting an interference source in an industrial facility
EP4060909A1 (en) 2021-03-16 2022-09-21 Siemens Aktiengesellschaft Progressive wireless signal quality indicator map refinement for wireless networks
EP4358568A1 (en) * 2022-10-17 2024-04-24 Siemens Aktiengesellschaft Environmentally controlling an industrial environment for optimizing wireless network performance
EP4358569A1 (en) * 2022-10-17 2024-04-24 Siemens Aktiengesellschaft Controlling wireless network performance in an industrial environment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6266514B1 (en) * 1998-11-06 2001-07-24 Telefonaktiebolaget Lm Ericsson Poor network coverage mapping
US20110130135A1 (en) * 2009-12-01 2011-06-02 Hafedh Trigui Coverage hole detector
US20180063736A1 (en) * 2014-11-14 2018-03-01 Interdigital Patent Holdings, Inc. Methods and procedures for channel measurements and reporting mechanisms for long term evolution (lte) operation in an unlicensed band

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6266514B1 (en) * 1998-11-06 2001-07-24 Telefonaktiebolaget Lm Ericsson Poor network coverage mapping
US20110130135A1 (en) * 2009-12-01 2011-06-02 Hafedh Trigui Coverage hole detector
US20180063736A1 (en) * 2014-11-14 2018-03-01 Interdigital Patent Holdings, Inc. Methods and procedures for channel measurements and reporting mechanisms for long term evolution (lte) operation in an unlicensed band

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3910986A1 (en) * 2020-05-14 2021-11-17 Siemens Aktiengesellschaft Method of detecting an interference source in an industrial facility
WO2021228473A1 (en) * 2020-05-14 2021-11-18 Siemens Aktiengesellschaft Method of detecting an interference source in an industrial facility
US20230174109A1 (en) * 2020-05-14 2023-06-08 Siemens Aktiengesellschaft Method of Detecting an Interference Source in an Industrial Facility
EP4060909A1 (en) 2021-03-16 2022-09-21 Siemens Aktiengesellschaft Progressive wireless signal quality indicator map refinement for wireless networks
WO2022194455A1 (en) 2021-03-16 2022-09-22 Siemens Aktiengesellschaft Progressive wireless signal quality indicator map refinement for wireless networks
EP4358568A1 (en) * 2022-10-17 2024-04-24 Siemens Aktiengesellschaft Environmentally controlling an industrial environment for optimizing wireless network performance
EP4358569A1 (en) * 2022-10-17 2024-04-24 Siemens Aktiengesellschaft Controlling wireless network performance in an industrial environment

Also Published As

Publication number Publication date
WO2019201670A1 (en) 2019-10-24

Similar Documents

Publication Publication Date Title
EP3557899A1 (en) Method and system for determining wireless network coverage within an environment
US10255817B2 (en) Computer implemented system and method for providing robust communication links to unmanned aerial vehicles
US20200298719A1 (en) Unmanned aerial vehicle drive testing and mapping of carrier signals
US9668146B2 (en) Autonomous robot-assisted indoor wireless coverage characterization platform
EP3710850B1 (en) Technique for ultra-wide band positioning
KR101436031B1 (en) System and method for position estimation using downlink access point
Li et al. Dynamic beacon mobility scheduling for sensor localization
JP6275279B2 (en) Zone-based lighting access
JP2020140704A (en) Abnormality mapping by vehicle micro cloud
CN106714182A (en) Method and apparatus for integrating radio agent data in network organization of dynamic channel selection in wireless networks
Shen et al. Particle filtering-based indoor positioning system for beacon tag tracking
WO2013156934A1 (en) Method, apparatus and computer program product for distributed indoor three-dimensional radiomap
EP2831544A1 (en) Mashup of ap location and map information for wifi based indoor positioning
KR20180093684A (en) An apparatus for performing handoff in a wireless coummunication system and a method thereof
US11402219B2 (en) Method and localization system for setting up or updating an environment map
KR101415191B1 (en) Pedestrian Navigation Apparatus
CN115248039B (en) Multi-robot-multi-person cooperative control method, device and system
US11558714B2 (en) Signal overhead reduction in distributed positioning system
CN104717740B (en) Collect the method, apparatus and system with training location data
KR102016835B1 (en) Method for estimating position of vehicle and the vehicle
KR20190136725A (en) Indoor postioning system with complex postioning fuction
Li et al. Optimal deployment of drone base stations for cellular communication by network-based localization
KR101853700B1 (en) Indoor localization system in disaster relief and localization method thereof
KR20140051188A (en) Pedestrian navigation apparatus
Zhu et al. ColLoc: A collaborative location and tracking system on WirelessHART

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20200603